Enterprise Customer Success Manager

About Azoma

Azoma is pioneering the future of AI‑driven commerce, helping the world\’s leading consumer brands optimize their visibility across emerging AI platforms including ChatGPT, Amazon Rufus, and Walmart Sparky. We\’re at the forefront of Generative Engine Optimization (GEO), working with Fortune 500 clients including Mars, Unilever, and P&G, to dominate conversational commerce.

The Role

We’re seeking an Enterprise Customer Success Manager who brings deep Amazon marketplace expertise to help scale our enterprise client operations. You’ll be the bridge between our AI optimization technology and client success, ensuring flawless execution of high‑value programs for global brands.

Key Responsibilities

• Coordinate cross‑functional teams to deliver optimization projects on time and within scope
• Develop and refine operational workflows for enterprise‑scale deployments
• Analyze performance metrics and translate data into actionable client recommendations
• Build strong relationships with brand managers and digital teams at major FMCG companies
• Contribute to product development based on client feedback and market needs

What We’re Looking For

• 4‑6 years of experience in Amazon ecosystem (agency or brand‑side required)
• Proven track record managing complex e‑commerce operations or digital shelf strategies
• Deep understanding of Amazon marketplace dynamics, SEO, and content optimization
• Experience with enterprise clients and managing multiple stakeholder relationships
• Strong analytical skills with ability to derive insights from complex data sets
• Excellent project management and communication abilities
• Experience with AI tools, automation, or emerging commerce technologies

What You’ll Get

• Opportunity to shape the future of AI commerce at a fast‑growing company
• Work directly with the world\’s most recognizable consumer brands
• Be part of defining an entirely new category (Generative Engine Optimization)
• Competitive compensation and growth opportunities